{"id":"https://openalex.org/W2592680992","doi":"https://doi.org/10.1109/mwscas.2016.7870090","title":"High-ISO image de-noising using burst filtering","display_name":"High-ISO image de-noising using burst filtering","publication_year":2016,"publication_date":"2016-10-01","ids":{"openalex":"https://openalex.org/W2592680992","doi":"https://doi.org/10.1109/mwscas.2016.7870090","mag":"2592680992"},"language":"en","primary_location":{"id":"doi:10.1109/mwscas.2016.7870090","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mwscas.2016.7870090","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 59th International Midwest Symposium on Circuits and Systems (MWSCAS)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5029163925","display_name":"Nour Aburaed","orcid":"https://orcid.org/0000-0002-5906-0249"},"institutions":[{"id":"https://openalex.org/I176601375","display_name":"Khalifa University of Science and Technology","ror":"https://ror.org/05hffr360","country_code":"AE","type":"education","lineage":["https://openalex.org/I176601375"]}],"countries":["AE"],"is_corresponding":true,"raw_author_name":"Nour Abura'ed","raw_affiliation_strings":["Technology and Research, Khalifa University of Science, Abu Dhabi, UAE"],"affiliations":[{"raw_affiliation_string":"Technology and Research, Khalifa University of Science, Abu Dhabi, UAE","institution_ids":["https://openalex.org/I176601375"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034881097","display_name":"Harish Bhaskar","orcid":"https://orcid.org/0000-0001-6517-6232"},"institutions":[{"id":"https://openalex.org/I176601375","display_name":"Khalifa University of Science and Technology","ror":"https://ror.org/05hffr360","country_code":"AE","type":"education","lineage":["https://openalex.org/I176601375"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Harish Bhaskar","raw_affiliation_strings":["Technology and Research, Khalifa University of Science, Abu Dhabi, UAE"],"affiliations":[{"raw_affiliation_string":"Technology and Research, Khalifa University of Science, Abu Dhabi, UAE","institution_ids":["https://openalex.org/I176601375"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045786672","display_name":"Faisal Shah Khan","orcid":"https://orcid.org/0000-0002-0086-1340"},"institutions":[{"id":"https://openalex.org/I176601375","display_name":"Khalifa University of Science and Technology","ror":"https://ror.org/05hffr360","country_code":"AE","type":"education","lineage":["https://openalex.org/I176601375"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Faisal Khan","raw_affiliation_strings":["Technology and Research, Khalifa University of Science, Abu Dhabi, UAE"],"affiliations":[{"raw_affiliation_string":"Technology and Research, Khalifa University of Science, Abu Dhabi, UAE","institution_ids":["https://openalex.org/I176601375"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5029163925"],"corresponding_institution_ids":["https://openalex.org/I176601375"],"apc_list":null,"apc_paid":null,"fwci":0.1689,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.61702408,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"2016","issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/chrominance","display_name":"Chrominance","score":0.9406577348709106},{"id":"https://openalex.org/keywords/luminance","display_name":"Luminance","score":0.7525449991226196},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.628550112247467},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6045940518379211},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5998974442481995},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5851008892059326},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5689563751220703},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.46065661311149597},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.45419150590896606},{"id":"https://openalex.org/keywords/image-sensor","display_name":"Image sensor","score":0.4382552206516266},{"id":"https://openalex.org/keywords/signal-to-noise-ratio","display_name":"Signal-to-noise ratio (imaging)","score":0.4303603172302246},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.20622694492340088},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1839788854122162},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.18231290578842163}],"concepts":[{"id":"https://openalex.org/C163204269","wikidata":"https://www.wikidata.org/wiki/Q355263","display_name":"Chrominance","level":3,"score":0.9406577348709106},{"id":"https://openalex.org/C73313986","wikidata":"https://www.wikidata.org/wiki/Q355386","display_name":"Luminance","level":2,"score":0.7525449991226196},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.628550112247467},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6045940518379211},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5998974442481995},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5851008892059326},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5689563751220703},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.46065661311149597},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.45419150590896606},{"id":"https://openalex.org/C76935873","wikidata":"https://www.wikidata.org/wiki/Q209121","display_name":"Image sensor","level":2,"score":0.4382552206516266},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.4303603172302246},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.20622694492340088},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1839788854122162},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.18231290578842163},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/mwscas.2016.7870090","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mwscas.2016.7870090","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 59th International Midwest Symposium on Circuits and Systems (MWSCAS)","raw_type":"proceedings-article"},{"id":"mag:2753506216","is_oa":false,"landing_page_url":"http://jglobal.jst.go.jp/en/public/20090422/201702246786349081","pdf_url":null,"source":{"id":"https://openalex.org/S4306512817","display_name":"IEEE Conference Proceedings","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"IEEE Conference Proceedings","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.49000000953674316,"display_name":"Partnerships for the goals","id":"https://metadata.un.org/sdg/17"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W2041651338","https://openalex.org/W2099244020","https://openalex.org/W2156009321","https://openalex.org/W2163267953","https://openalex.org/W2168512023"],"related_works":["https://openalex.org/W2005759937","https://openalex.org/W1799575154","https://openalex.org/W2225603070","https://openalex.org/W2034025452","https://openalex.org/W3204377033","https://openalex.org/W2112392814","https://openalex.org/W2009194336","https://openalex.org/W2051148592","https://openalex.org/W2966759666","https://openalex.org/W2314095971"],"abstract_inverted_index":{"Cameras":[0],"allow":[1],"capturing":[2],"images":[3],"in":[4,59,89],"low":[5],"light":[6],"conditions":[7],"by":[8],"adjusting":[9],"the":[10,24,36,41,53,69,90],"level":[11],"of":[12,26,46,76],"their":[13],"ISO":[14,55],"setting.":[15],"ISO,":[16],"which":[17],"stands":[18],"for":[19],"International":[20],"Standards":[21],"Organization,":[22],"controls":[23],"sensitivity":[25],"a":[27,48,99],"camera's":[28],"sensor.":[29],"A":[30],"high-ISO":[31,77],"value":[32],"amplifies":[33],"not":[34],"only":[35],"image's":[37],"signal":[38],"but":[39],"also":[40],"noise":[42,62,78],"signal,":[43],"giving":[44],"both":[45],"them":[47],"high":[49],"gain":[50],"depending":[51],"on":[52,96,106],"chosen":[54],"level.":[56],"This":[57],"results":[58],"statistically":[60],"unpredictable":[61],"distribution":[63],"with":[64],"different":[65,81],"intensities":[66],"all":[67],"over":[68],"image.":[70],"In":[71],"this":[72,74],"paper,":[73],"type":[75],"and":[79,92,109],"its":[80,87],"characteristics":[82],"will":[83],"be":[84],"investigated;":[85],"particularly":[86],"effect":[88],"luminance":[91],"chrominance":[93],"channels.":[94],"Based":[95],"these":[97],"differences,":[98],"burst":[100],"filtering":[101,108],"algorithm":[102],"that":[103],"is":[104,112],"based":[105],"bilateral":[107],"median":[110],"stacking":[111],"proposed.":[113]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}